Information Extraction from Scientific Documents
Closed Pre-Solicitation Posted
- Solicitation number
- HDTRA124R0066
- Agency
-
Defense Threat Reduction Agency
Department of Defense
- Responses due
- Set-aside
- No set-aside
Opportunity facts
- NAICS code
- 541511 Custom Computer Programming Services
- PSC
- Not on record
- Place of performance
- Fort Belvoir, Virginia 22060, United States
- Points of contact
Notice details come from SAM.gov. Updated .
About this opportunity
The Defense Threat Reduction Agency (DTRA) is seeking Artificial Intelligence and Machine Learning (AI/ML) models and pipelines capable of identifying and extracting elements such as tables, plots, and photos from scanned technical and scientific documents. The models and pipelines must be able to ingest documents in common formats, provide outputs in standard formats, work with degraded documents, run on common hardware, be modular and interoperable, and be stable and well-documented. The solutions must be immediately deployable or close to deployable, and DTRA requires unlimited data rights for the code, models, documentation, and training data. Respondents are asked to provide their development history, the current state of their AI/ML solutions, and measures of extraction accuracy. Responses are due by July 11, 2024 and should be limited to a 10-page white paper.
This is a sources sought notice for market research purposes only, and DTRA makes no commitment to issue a solicitation or make an award. The contract opportunity is not set aside for any particular business category. The NAICS code is 541511 - Custom Computer Programming Services. No potential incumbents or budget ranges were provided in the notice.
Notice text
This is a sources sought for market research purposes. DTRA requires Artificial Intelligence and Machine Learning (AI/ML) models and pipelines capable of identifying and extracting elements of scanned technical and scientific documents (e.g., tables, plots, photos, etc.). Please see attached sources sought for all information.
Files
| File | Type | Posted |
|---|---|---|
| Sources Sought-Information Extraction.pdf |
Similar open opportunities
| Opportunity | Agency | Set-aside | Responses due |
|---|---|---|---|
| FY25-29 strategic trends research initiative broad agency announcement | Defense Threat Reduction Agency | No set-aside |
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